Prompt Engineering freeCodeCamp

• What is the focus of the course on prompt engineering?

  Mastering prompt engineering strategies
• Who is the instructor of the course?

  Anu Kubo
• What will Anu Kubo teach in this course?

  The latest techniques to maximize productivity
• What is unique about this course compared to others?

  Less coding, more understanding of prompt engineering
• What is prompt engineering?

  A career optimizing human-AI interaction
• Why is prompt engineering important?

  It enhances interaction between humans and AI
• What does AI stand for?

  Artificial Intelligence
• What is the definition of artificial intelligence?

  Simulation of human intelligence processes by machines
• What is machine learning?

  Using data to predict outcomes based on patterns
• How does machine learning categorize paragraphs?

  By analyzing correlations and patterns in data
• What is the role of a prompt engineer?

  To refine and optimize prompts for AI
• What is the significance of maintaining a prompt library?

  To ensure prompts remain effective over time
• What are AI hallucinations?

  Inaccurate outputs generated by AI systems
• What is linguistics?

  The study of language
• Why is understanding linguistics important for prompt engineering?

  It helps craft effective prompts
• What is a language model?

  A program that understands and generates text
• How do language models generate responses?

  By analyzing word order and meanings
• Where can language models be found?

  In virtual assistants and chatbots
• Who created Eliza?

  Joseph Wiesenbaum
• What was Eliza designed to do?

  Simulate a conversation with humans
• How did Eliza create the illusion of understanding?

  By using pattern matching and predefined rules
• What was the purpose of Eliza according to its creator?

  To explore communication between humans and machines
• What did Eliza's success lead to?

  Increased interest in natural language processing
• When did the first AI language models begin to emerge?

  Around 2010
• What is GPT?

  Generative Pre-trained Transformer
• What was significant about GPT-1?

  It was an impressive early language model
• How did the development of deep learning impact language models?

  It enabled more advanced language processing
• What are the key areas of linguistics relevant to prompt engineering?

  Phonetics, phonology, morphology, syntax, semantics, pragmatics, historical linguistics, sociolinguistics, computational linguistics, physiolinguistics
• How does understanding language structure benefit prompt engineering?

  It leads to more accurate AI responses
• What was the beginning of conversational AI focused on?

  Understanding and generating human language
• What was the purpose of the program Shudlu?

  To understand simple commands and interact
• When did true language models begin to emerge?

  Around 2010
• What does GPT stand for?

  Generative Pre-trained Transformer
• Who created the fast iteration of GPT in 2018?

  OpenAI
• What was the main feature of GPT-3 released in 2020?

  Over 175 billion parameters
• How did GPT-3 change the landscape of language models?

  It marked a turning point in AI capabilities
• What is the latest model mentioned in the study material?

  GPT-4
• What is the importance of prompt engineering?

  It helps harness data effectively
• What mindset is beneficial for prompt engineering?

  • Write clear, concise prompts
  • Avoid wasting time and tokens
  • Similar to effective Google searches
• How does Mahail Eric compare prompting to another task?

  He compares it to designing Google searches